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- Pre-trained classification of scalp conditions using image processing
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
- Why care about Linear Hair Growth Rates (LHGR)? A study using in vivo imaging and computer assisted image analysis after manual processing (CAIAMP) in unaffected male controls and men with male pattern hair loss (MPHL)
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- “TRICHOASSIST” Trichogram Hair and Scalp Feature Extraction and Analysis Using Image Processing
- ISID0192 - Three-dimensional ultra-high frequency ultrasound facilitates image processing to visualize microstructural changes of hair follicles and detects distinct disease phases of alopecia areata
- 192 Three-dimensional ultra-high frequency ultrasound facilitates image processing to visualize microstructural changes of hair follicles and detects distinct disease phases of alopecia areata
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
- Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
- Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
- Quantitative assessment of female pattern hair loss
- เครองมอประมวลผลภาพดจทลสำหรบวดขอมลของเสนผมบนหนงศรษะของผปวยโรคผมบางทางพนธกรรม
- NLKFill: high-resolution image inpainting with a novel large kernel attention
- Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
- 1040 Photographing alopecia - How many pixels are needed for clinical evaluation?
- Using morphological operators and inpainting for hair removal in dermoscopic images
- An atlas of histopathology of skin diseases
- Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
- Σχεδιασμός και υλοποίηση συστήματος επεξεργασίας εικόνας καθώς και μαθηματικών αλγορίθμων βελτιστοποίησης της μεταμόσχευσης ανθρωπίνων τριχοθυλακίων με την τεχνική FUE
- <i>Ex vivo</i> dermatoscopy of scalp specimens and slides
- Vitadetect : Vitamin Deficiency Detection
- Gaining New Insights in Plant Biology through Human–Machine Collaboration
- Automated quantitative analysis of coat and skin coloration in laboratory animals
- A discriminant multi-scale histopathology descriptor using dictionary learning
- Scalp disease analysis using deep learning models
- Photo‐protective effect of cuttlefish ink melanin on human hair
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification